Stephen E. Kendall

1.0k citations
18 papers · 865 · h-index 16

Impact in

Papers in

Stephen E. Kendall

18 papers receiving 844 citations

Peers

Stephen E. Kendall
Comparison fields: 5 of 97
  • Developmental Neuroscience 99
  • Immunology and Allergy 127
  • Genetics 153
  • Cancer Research 113
  • Biotechnology 63
Replace Magdalena Hartman‐Petrycka with:
Magdalena Hartman‐Petrycka Poland
Barbara Munz Germany
Marius Maxwell United States
Tomoko Hashimoto-Tamaoki Japan
A M Montgomery United States
Nahoko Komatsu Japan
Guoguang Zheng China
Gianluca Ragone Italy
Jin‐Hong Chang United States
Anastasia Gabriel Australia
Stephen E. Kendall relative to Magdalena Hartman‐Petrycka Poland Magdalena Hartman‐Petrycka's profile →
Citations per field
00.5×3.8×
Magdalena Hartman‐Petrycka · 1×
Citations per year

Countries citing papers authored by Stephen E. Kendall

Since Specialization
Citations

This map shows the geographic impact of Stephen E. Kendall's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen E. Kendall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen E. Kendall more than expected).

Fields of papers citing papers by Stephen E. Kendall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Kendall. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen E. Kendall. The network helps show where Stephen E. Kendall may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen E. Kendall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen E. Kendall Line = papers co-authored together Stephen E. Kendall links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200895
2 200886
3 200974
4 200565
5 201162
6 197762
7 200955
8 200253
9 201453
10 201252
11 200647
12 197639
13 197638
14 201227
15 200725
16 200319
17 200412
18 20061

About Stephen E. Kendall

Stephen E. Kendall is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Developmental Neuroscience and Cancer Research, having authored 18 papers that have together received 865 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (4 papers), Nerve injury and regeneration (3 papers), RNA Interference and Gene Delivery (3 papers), Pluripotent Stem Cells Research (3 papers), Signaling Pathways in Disease (2 papers), TGF-β signaling in diseases (2 papers), Allergic Rhinitis and Sensitization (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Developmental Neuroscience (99 citations), Immunology and Allergy (127 citations), Genetics (153 citations), Cancer Research (113 citations) and Biotechnology (63 citations). Stephen E. Kendall has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Carlotta A. Glackin, Karen S. Aboody, Marianne Z. Metz, Joseph Najbauer, Francis C. Lowell, Seung Up Kim, Joseph M. Verdi, John L. Ohman, R.T. Frank and John L. Ohman. Their work appears in journals such as PLoS ONE, Stem Cells, Journal of Allergy and Clinical Immunology, Molecular and Cellular Biology and BMC Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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